Sr. Software Engineer - Reference Data
Addepar- Full Time
- Senior (5 to 8 years)
Candidates should possess a Bachelor’s or Master’s degree in Computer Science or a related field, with a minimum of 8 years of experience in Software Engineering, Distributed Systems, or a related field. They should have at least 3 years of proficiency in programming languages such as Java, Scala, or Python, and 3 years of experience in data engineering or related fields. A solid understanding of cloud-based infrastructure and managed services (AWS, GCP) is required, along with experience with data engineering technologies like Apache Spark, Apache Iceberg, Apache Avro, Apache Kafka, and Apache Flink.
The Sr Software Development Engineer will contribute to the ingestion, discoverability, governance, derivation, and serving of data for Workday’s Classic Machine Learning and agentic initiatives. They will work hands-on with technologies like Python, Spark, AWS Infra, Kafka, Terraform/Kubernetes, and Iceberg, delivering a service from code to production through continuous integration and deployment practices. The role involves creating scalable service endpoints to retrieve data, and collaborating with teammates to craft, maintain, and improve sophisticated object-oriented software while adhering to clean code standards and employing testing methodologies.
Cloud applications for finance and HR management
Workday provides enterprise cloud applications that focus on finance and human resources for medium to large-sized businesses across various industries. Its main products include Workday Human Capital Management, Workday Financial Management, Workday Adaptive Planning, and Workday Student, which help organizations manage their workforce and streamline financial operations. The software operates on a subscription model, allowing clients to pay a recurring fee based on the number of users and specific modules needed. This model supports continuous updates and improvements to the software. Workday stands out from competitors due to its strong emphasis on customer satisfaction and employee engagement, offering tools like Workday Peakon Employee Voice to enhance workforce experience. The company's goal is to provide essential tools that improve operational efficiency and support businesses in managing their human resources and financial operations effectively.